Modular Quantum Computing Architecture with Interchangeable Units
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Solution Overview
Problem
Current quantum computing systems face challenges in scalability, qubit connectivity, and component fidelity, limiting the deployment of full-scale quantum computers, with existing architectures failing to distinguish effectively between stateful control logic and stateless computation stages.
Innovation Solution
A modular quantum computing system with units such as quantum processing units, classical processing units, and controller units, each with input and output interfaces, allowing for data conversion, stateless arithmetic functions, and control logic execution, enabling flexible implementation of quantum algorithms on various hardware and software platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a traditional quantum computing architecture is used, then quantum operations can be performed, but the system lacks scalability and flexibility for different quantum device types
Solution Approach 1:
The system is divided into discrete, interchangeable units including quantum processing units (QPUs), classical processing units (CPUs), and controller units. Each unit has standardized input and output interfaces that can be selectively connected to form different computational architectures, enabling adaptation to various quantum device types without redesigning the entire system.
Solution Approach 2:
The modular units are designed with universal interfaces and standardized data formats that allow them to function across different quantum computing platforms. The same CPU or controller unit can work with different QPU types (superconducting, trapped ion, photonic, etc.) through the standardized interface, providing multi-functionality and broad adaptability.
2Quantity of substance
If quantum computing systems are built to handle more qubits, then computational power increases, but scalability challenges arise
Solution Approach 1:
Quantum processing capability is segmented into modular QPUs that can be connected in series or parallel configurations. This allows the system to scale from small numbers of qubits to large numbers by simply adding more QPU modules rather than building a monolithic system, thereby managing complexity while increasing quantum processing capacity.
Solution Approach 2:
The architecture allows for nested configurations where multiple QPUs can be organized hierarchically under controller units, which in turn are managed by higher-level control systems. This nested structure enables scalable management of large numbers of qubits through layered control and coordination.
3Measurement precision
If quantum computing systems are designed for high precision operations, then computational accuracy improves, but component fidelity requirements become more stringent
Solution Approach 1:
Controller units serve as intermediaries between classical control systems and quantum processing units, managing the interface and coordination to minimize errors. The standardized interfaces and control protocols act as mediators that ensure high-fidelity communication and operation, protecting the quantum system from classical control errors while maintaining computational accuracy.
4Adaptability or versatility
If a modular architecture with multiple unit types is implemented, then system flexibility increases, but interface and connection management becomes more complex
Solution Approach 1:
All processing units (both quantum and classical) are designed with homogeneous standardized interfaces including consistent data formats, communication protocols, and connection types. This uniformity simplifies interface management despite the diversity of unit types, as the same interface standards apply across the entire system regardless of whether units are quantum or classical in nature.
Data Source
AI summary
A quantum computing system and method are disclosed. The system includes a modular architecture comprising a plurality of units, each unit having an input interface and an output interface and having a type selected from a set including a controller unit, a quantum processing unit and a classical processing unit. Each quantum processing unit is connectable to a quantum computing device and includes a data converter, the input interface being selectively connectable to other units of the modular architecture and configured to pass data received at the input interface to the data converter and pass the output of the data converter to the quantum computing device, the output interface being selectively connectable to other units of the modular architecture and configured to pass data received from the quantum computing device to the data converter and pass the output of the data converter to the output interface for communication to the units of the modular architecture connected to the output interface. Each classical processing unit is configured to execute a stateless arithmetic function on inputs received at its input interface and is configured to output the function's output at its output interface, each classical processing unit being configured to be executed by a non-quantum computing device. Each controller unit is configured to execute control logic associated with the architecture and is further configured to direct operation of the unit or units linked to its output interface.